首页 > 行业新闻

北京双髻鲨科技有限公司

2016/07/02

双髻鲨行车预警系统是基于机器视觉技术的adas产品,提供前向碰撞预警、车道偏离检测、车距保持、行驶记录等多个实用功能。双髻鲨的adas系统综合了图像识别和立体视觉技术,在障碍物感知方面能够提供更加精准的结果。独有的“三目“设计在adas功能之余增加了行驶记录仪功能,更加方便实用。

双髻鲨的核心技术主要有三个方面:

1、自主创新的核心算法

    双髻鲨自主研发了基于双目的障碍检测和测距算法,能在快速运动的情况下准确的检测障碍物并进行精确测距。而且能适应各种天气以及光线条件,抗干扰能力强

2、突破移动设备计算性能限制

    机器视觉和图像处理的算法对计算资源的需求巨大,在移动设备上这个矛盾尤为突出,这是限制行业发展的重要原因。双髻鲨的团队在移动平台上拥有深厚的积累以及独特的技术。通过一些非常规的编程方法,可以将多核cpu、显卡以及视频硬件编解码器的能力充分调度起来,满足对图像处理的庞大计算需求,实现了完全的实时处理。

3、成本控制和产品化

    机器视觉产品一向硬件需求苛刻,价格也一直居高不下,是限制其广泛使用的主要因素。双髻鲨的团队成功的让核心算法运行在了廉价的硬件上。让双髻鲨的产品能以消费电子级别的成本,提供高附加值的功能
 

Sphyrna Traffic Warning System is an ADAS, based on machine vision technology, provides forward collision warning, lane departure detection, maintaining distance between vehicles, driving record and many other practical functions. The Sphyrna ADAS combines image recognition and stereo vision technology, in terms of obstacles perception, it can provide more accurate results. Unique "trinocular" design adds with the drive recorder function, in addition to ADAS function, making it more convenient and practical.

The core technology of the Sphyrna mainly has three aspects:

1. the core algorithm of independent innovation.

Sphyrna independently developed the obstacle detection and ranging algorithm based on binocular, which can accurately detect obstacles and precise range under the condition of rapid movement. Moreover, it can adapt to all kinds of weather and light conditions, has strong anti-interference capability.

2. A breakthrough in computing performance.

Machine vision and image processing algorithms demand huge computing resources, especially on mobile devices, which is an important cause of restrain the development of the industry. But,

Sphyrna has deep accumulation and unique technology on the mobile platform, through some non-conventional programming methods, they took full advantage of multi-core CPU, GPU and video codecs, to meet the huge demand of computing image processing and achieve a complete real-time processing system.

3. Cost control and transition

Demanding hardware requirements and the high prices have been the main factor limiting the widespread use of machine vision products. Sphyrna succeed in running the core algorithms on cheap hardware, which allows Sphyrna ADAS provides high value-added functions at the price level of consumer electronic products.